Senior Java Developer (Business Automation & AI)
Job
Ardent Technologies, Inc.
Salt Lake City, UT (In Person)
Full-Time
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Job Description
Ardent Technologies, Inc. is an accredited small business providing a full range of IT support services, cybersecurity services, staff augmentation, fiscal management, and administrative support. Headquarters in Dayton, OH, near Wright-Patterson Air Force Base, Ardent has served federal, state/local government, commercial, and higher education markets across the US since 2000. Our commitment to excellence, integrity, and client satisfaction drives our growth-and yours. Job Description
- We are currently seeking a highly motivated Senior Java Developer (Business Automation & AI) to join our team for a project with our esteemed client.
Key Responsibilities:
Business Automation:
Design, develop, and maintain complex decision services using Drools (DRL) and migrate legacy workflows to cloud-native Kogito microservices.AI Implementation:
Architect and manage AWS Bedrock Knowledge Bases, ensuring the LLM provides accurate, context-aware responses.Data Pipeline & ETL:
Build automated pipelines to extract, clean, and convert legacy Adobe RoboHelp content into optimized Markdown/Vector formats stored in Amazon S3.Backend Development:
Develop high-performance RESTful APIs using Quarkus or Spring Boot to integrate AI chatbot capabilities into our core Java applications.Cloud Orchestration:
Deploy and scale business automation services within a Kubernetes/OpenShift environment.Required Technical Skills:
Java Mastery:
3-5 years of professional experience with Java (8/11/17+), including Spring Boot or Quarkus.Rule Engines:
Hands-on experience writing and debugging Drools rules and implementing DMN (Decision Model and Notation).Cloud Native Automation:
Proven experience with Kogito for building cloud-native business processes.AWS AI/ML
Stack:
Experience configuring AWS Bedrock (Knowledge Bases, Agents, or Prompt Engineering).- Proficiency in managing Amazon S3 for large-scale document storage and metadata tagging.
Documentation Transformation:
Experience (or strong scripting ability) in converting Adobe RoboHelp (HTML/XML) into structured formats (Markdown/JSON) for AI consumption.Modern DevOps:
Experience with Git, CI/CD pipelines, and containerization (Docker/Kubernetes).Preferred Qualifications:
- Experience with Vector Databases (Amazon OpenSearch, Pinecone, or Milvus).
- Understanding of Python (specifically for BeautifulSoup/Pandoc-based document parsing).
- Knowledge of
BPMN 2.0
standards.- AWS Certified Developer or AWS Machine Learning Speciality certification.
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